河北省房地产市场现状论证

本文利用2003年至2008年河北省房地产业及宏观经济发展数据,对河北房地产市场风险进行了研究。对房地产金融程度指标、房地产投资的GDP弹性、资金来源结构、房地产市场价格指标等几个衡量房地产业发展及危机程度指标进行分析,并且通过对相关数据构造模型进行统计回归分析。得出河北省房地产市场虽然处于发展的相对稳定阶段,但仍存在房价过高、企业融资渠道单一、危机指标逼近危险临界值等突出问题。最后给出相应简要建议。     

成都市土地流转政策对房地产市场的影响——基于VAR时间序列模型

土地流转政策土地流转政策作为一项政府对房地产行业进行调控的基础性政策,土地作为房地产的基础,对房地产市场的价格有着重要的影响。本文在分析成都市土地流转政策的基础上,以土地流转面积和新开工住房面积的时间序列模型对成都市房地产市场对土地流转政策的依赖程度进行分析,并在此基础上得出相关结论。     

房地产行业股票价格的影响因素

房地产业在我国经济体系中举足轻重,地位与作用不言而喻。作为国民经济的重要组成部分,房地产行业同时也在在中国证券市场上扮演着特殊角色,本文围绕宏观与微观经济的不同视角对房地产行业股票价格的影响因素进行实证分析。通过选取宏观经济指标、地产也的行业指标和房地产股票价格指数等相关数据,运用多元回归分析法,得出地产业股票价格与房地产住宅投资、房地产企业个数、房地产企业的营业利润、平均房价成正比、与国内生产总值和基准货币供应量成正比而与居民储蓄年底余额和居民消费价格指数成反比。     

上海市房地产泡沫实证检测

上海市房地产泡沫问题近年来一直是各界关注的焦点。通过房价增长率与GDP增长率之比、个人住房贷款增长率、房价收入比等指标对上海市房地产泡沫存在进行实证检测;然后利用收益还原法对泡沫程度进行测算,并得出一些有意义的结论。     

基于VAR模型的房地产价格研究——以江西省为例

本文以江西省为例,挑选广泛、适用、可量化的指标作为江西省房地产价格的影响因素,研究这些因素对房地产价格的影响程度和影响模型,并提出促进江西省房地产行业健康发展的政策建议,为政府制定宏观调控政策提供参考.     

房地产信贷波动与房价波动相互关系研究

自2006年以来,房价一直处于高位运行,同时,随着国家四万亿的经济刺激计划的实施,大量的资金进入了房地产市场,本文正是在这个现实基础上主要分析房地产信贷波动和房价波动的关系,利用误差修正模型分析信贷在短期和长期对房价的影响大小,在此基础上使用VAR模型具体分析二者的因果关系,以及量化影响的程度,并得出相应的结论。     

货币供应、银行信贷与我国的房地产价格泡沫——基于面板数据动态GMM法的实证检验

近年我国房价急剧上涨所形成的泡沫问题已成为可能诱发系统性金融风险的重要因素。以房价收入比作为衡量房地产价格泡沫的评价指标,基于2006—2015年我国35个大中城市的面板数据,运用动态GMM法实证检验了货币供应、银行信贷对房地产价格泡沫的影响作用。结果表明:我国房地产价格泡沫存在跨期动态传递效应,货币供应量和银行信贷对房地产价格泡沫有显著的正向影响,固定资产投资、产业结构、城市化等亦对房地产价格泡沫产生不同程度影响,而上述因素的作用效应在房地产价格不同泡沫程度区域呈现异质性特征。鉴于此,中央政府有必要调整相对宽松的货币政策和房地产信贷政策,采取"因城施策"的差异化调控机制,有效抑制房地产泡沫。     

房地产市场发展周期与金融运行关系研究——基于广西柳州市的实证分析

本文通过对广西柳州市房地产市场发展的单项指标和综合指标进行周期分析,发现柳州房地产市场周期已初步形成,据此进一步对柳州房地产市场周期与主要经济金融指标进行相关关系分析,可证明住房信贷、各项存款是房地产市场周期形成的主要金融指标;通过更深一步的计量分析,得出金融运行与房地产市场发展之间相关关系的结论和政策建议.     

武汉市房地产泡沫测度与成因机理分析

本文选取7个指标对2000~2013年武汉市房地产泡沫进行分析,由于各指标性质各异,得出的结论存在差异,运用综合指数法对7个指标进行合成测度,结果表明武汉市房地产市场在2003年、2004年、2011年和2013年存在泡沫。进一步分析发现,武汉市房地产泡沫产生的原因包括房地产刚性需求旺盛、房地产生产成本增加、信贷市场急剧发展以及住房市场结构不完善。     

我国货币政策影响房地产价格的实证分析

本文对我国货币政策与房地产价格的关系进行了理论和实证分析,得出了货币政策可以影响房地产价格,利率对房地产价格的影响比货币供应量更为显著,货币政策对房地产价格的影响时滞为2个季度等相关结论。     

有限理性、房地产市场波动与金融稳定

本文认为,房地产市场波动对金融稳定影响的根本原因在于房地产市场存在有限理性。房地产市场有限理性包括三个方面,分别是投资者有限理性、房地产开发商有限理性和金融机构有限理性。在此基础上,本文通过构造房地产市场有限理性,论证了房地产市场波动对金融稳定的影响过程。     

The Relationships between Real Estate Price and Expected Financial Asset Risk and Return: Theory and Empirical Evidence

In pricing real estate with indifference pricing approach, market incompleteness is shown to significantly alter the conventional pricing relationships between real estate and financial asset. Specifically, we focus on the pricing implication of market comovement because comovement tends to be stronger in financial crisis when investors are especially sensitive to price declines. We find that real estate price increases with expected financial asset return but only in weak market comovement (i.e., a normal market environment) when investors enjoy diversification benefit. When market comovement is strong, real estate price strictly declines with expected financial asset return. More importantly, contrary to the conventional positive relationship from real option studies, real estate price generally declines with expected financial asset risk. With realistic market parameters, we show that there is a nonlinear relationship between real estate price and financial risk. When the market comovement is strong, real estate price only increases with financial asset risk when the risk is low but eventually declines with the risk when it becomes high. Our cross-country empirical results also show that the relationship between financial market risk and real estate price is non-monotonic, conditional on the degree of market comovement.     

租购并举、货币政策与房地产市场波动

为补足房地产市场发展短板,有效解决房地产市场结构性失衡,我国提出加快建立租购并举的住房制度,健全住房租赁市场,满足居民居住需求。本文通过构建一般均衡模型,分析住房租赁市场发展对宏观经济的影响,并采用1998~2010年全国30个大中城市季度数据分析在房地产市场化改革前期房地产市场结构失衡对宏观经济的影响,采用2002~2019年全国月度数据分析实施租购并举住房制度后房地产市场结构改善情况下,宏观经济变化以及货币政策对房地产市场的调节效应。研究结果表明:第一,房地产市场化改革前期,住房以"居住"属性为主,"投资"属性相对较弱;第二,租购并举制度下房租房价之间"剪刀差"的缩小能够有效改善房地产市场失衡的状况;第三,货币政策对房地产市场具有显著影响,但不同的货币政策会产生截然相反的作用。     

Corporate real estate's impact on the takeover market

This article explores the issues and problems associated with corporate real estate ownership as viewed through the takeover market. The perception held by managers is that corporate real estate assets are unique, specialized assets. This perception conflicts with financial theory which states that the market values all corporate assets based only on their expected future cash flows. Thus corporate real estate assets are priced according to their cash flows and are like other corporate assets. This study tests the hypothesis that corporate real estate is a specialized asset by examining the impact real estate assets have on the takeover market. The study uses a logit regression model in order to attempt to predict which firms become takeover targets. If corporate real estate in general is a specialized asset, then real estate is expected to be an important variable in predicting takeover targets. Although the logit model has little predictive accuracy, results from the prediction model suggest that corporate real estate plays a significant part in determining the likelihood of a firm's becoming a takeover target. The greater the real estate holdings, the greater the likelihood of a firm's becoming a takeover target.     

Are REITs real estate? Evidence from international sector level data

The aim of this study is to examine whether securitized real estate returns reflect direct real estate returns or general stock market returns using international data for the U.S., U.K., and Australia. In contrast to previous research, which has generally relied on overall real estate market indices and neglected the potential long-term dynamics, our econometric evaluation is based on sector level data and caters for both the short-term and long-term dynamics of the assets as well as for the lack of leverage in the direct real estate indices. In addition to the real estate and stock market indices, the analysis includes a number of fundamental variables that are expected to influence real estate and stock returns significantly. We estimate vector error-correction models and investigate the forecast error variance decompositions and impulse responses of the assets. Both the variance decompositions and impulse responses suggest that the long-run REIT market performance is much more closely related to the direct real estate market than to the general stock market. Consequently, REITs and direct real estate should be relatively good substitutes in a long-horizon investment portfolio. The results are of relevance regarding the relationship between public and private markets in general, as the ‘duality’ of the real estate markets offers an opportunity to test whether and how closely securitized asset returns reflect the performance of underlying private assets. The study also includes implications concerning the recent financial crisis.     

房地产金融属性的表现及经济含义:以美国房地产市场为例

随着金融自由化及经济资本化的深入,房地产金融属性的增强成为以美国为代表的全球房地产市场发展最大的特点。房地产的异质性被金融属性抹平,而波动的同步性增强,全球房地产市场首次同步繁荣,甚至开始脱离实体经济而自我膨胀。房地产金融属性的增强,使其更容易产生繁荣-萧条式的大幅波动。因此,需适当控制房地产金融属性。     

Real Estate Ownership, Leasing Intensity, and Value: Do Stock Returns Reflect a Firm’s Real Estate Holdings?

Little is known about the effects of real estate ownership and leasing on the stock return characteristics of public firms. In this study, we first examine the sensitivity of retail firm returns to a real estate factor over the period 1998?C2008. The retail industry is chosen because of the significant use of real estate in a typical retail firm??s production function. Consistent with our expectations, retail stocks exhibit positive real estate risk exposure, even after controlling for sensitivity to general market risk as well as other standard risk factors. The second part of our analysis examines whether the intensity of real estate ownership and the use of off-balance operating leases to finance real property holdings are reflected in the market and real estate betas of retail stocks. We find that greater use of off-balance sheet operating leases is associated with higher market betas. In fact, the use of operating leases appears to have a larger impact on sensitivity to market risk than does the use of on-balance sheet debt. Our findings also confirm our hypothesis that real estate intensive firms display significantly greater exposure to a real estate factor. Moreover, our results strongly suggest that investors are fully aware of the risk associated with off-balance sheet operating leases.     

空间变异特征下金融发展结构对房地产库存的影响研究

利用2004-2018年我国房地产库存和金融发展结构的省际面板数据建立GWR模型,考量空间变异特征下金融发展结构对房地产库存的影响。结果表明:金融发展结构对房地产库存的影响呈现出显著的动态市场异质性特征,即不同经济发展阶段、不同的经济发展区域、金融发展结构对房地产库存的影响不同;房地产开发企业国内贷款和商品房房价对房地产库存的影响具有典型的市场异质性,且表现出非线性特征;房地产开发企业自筹资金、房地产开发企业利用外资、房地产开发企业其他资金对房地产库存具有抑制作用;房地产开发投资额对房地产库存具有促进作用。     

沈阳市房地产市场发展情况调查

截至2011年9月份,沈阳市房地产市场出现了明显变化,为了解房地产市场的这种变化对金融业的影响,本文选取了我市10家金融机构及12家房地产开发公司并对其进行了实地调研。调研显示：受国家宏观调控政策的影响,我市房地产成交量开始下降,但价格略有上升。由于我市房地产价格相对较低,市场刚性需求较多,房地产市场基本稳定,风险相对较小;银行积极执行国家宏观调控政策,对房地产行业潜在的风险意识增强,多家银行机构上调了房地产企业的贷款利率,追加了房地产企业的担保资金,目前房地产市场变化对我市银行业带来的风险相对较小,尚在可控范围。     

房地产信贷、价格及市场供求关系研究

本文通过对2000年以来上海房地产信贷与房地产市场关系的实证分析,发现房地产信贷对房地产市场的影响主要表现在需求方而不是供应方,房地产信贷增长对房地产价格和房地产销售量增长有明显的促进作用,但对房地产开发投资没有明显的影响。房地产信贷增长主要由银行流动性状况决定,而不取决于房地产市场状况,但房地产市场供需状况会影响到房地产信贷结构变化,在价格上升时个人购房贷款增长明显,在价格下降时开发贷款增长明显。在短期内,银行信贷可作为平稳房地产市场波动的手段之一,但对于长期而言,只有构建完善的住房供应体系才能保持房地产市场的长期稳定。